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Hyundai opens first car-powered hotel with the IONIQ 5
Hyundai opened a hotel powered by its IONIQ 5 all-electric vehicle. The car-powered vacation spot is located in the countryside of the United Kingdom.
Hyundai Hotel is a collaboration between the Korean automaker and broadcast/critic Grace Dent. The hotel will utilize the IONIQ 5’s Vehicle-to-Load (V2L) technology to power the entire facility. The car has a V2L port at its charging port.
The IONIQ 5 has at least two battery options: the Standard-range 58kWh pack and the Long-range 72.6 kWh pack. It is unclear which battery option powers Hyundai Hotel. Hyundai stated that V2L could supply up to 3.6 kW of power. The Korean car manufacturer said the IONIQ 5 could charge high-power electric equipment using a converter. The car can also provide power while it’s turned off.
“We’re looking for unique, memorable stays more now than ever and this is a delicious blend of innovation, luxury and comfort that gets you thinking. With power coming from the car, where could Hotel Hyundai pop-up next?” comments Grace Dent.
The entire concept of the hotel is based on research commissioned by Hyundai. Approximately 2,000 vacationers participated in the research. More than 55% of the participants noted that the cost-of-living crisis made them reevaluate their vacation plans.
About 44% of vacationers in the research said they would likely go on more staycations in 2023 compared to 2022. Around 31% of the participants highlighted that staycations were better for shorter vacations or breaks. Three out of ten vacationers noted that the UK countryside was a good place to enjoy their mini-breaks.
Hotel Hyundai is situated in Essex, an hour away from central London. Its location seems to be ideal for short breaks or mini vacations. The car-powered hotel is centered around a high-end luxury cabin by Colemans Farm. Everything in the cabin is powered by the IONIQ 5’s V2L technology.
“Our award-winning IONIQ 5 is able to power Hotel Hyundai using its V2L feature, where an adapter from the car provides a socket which domestic appliances can be plugged into. The whole experience demonstrates the practicality of this pioneering technology, and we hope the concept inspires more people to go off grid,” said Hyundai Motor UK’s Managing Director Ashley Andrew.
Hyundai’s award-winning all-electric vehicle also powers the IONIQ 5 coffee lounge at the hotel’s bar and restaurant. It also powers the projector, speakers, and popcorn machine at the hotel’s cinema.
Hotel Hyundai is operational for only 14 nights between October 19 and November 5. It will be open from Wednesday to Sunday. People interested in staying at the hotel have a chance to win a stay at the car-powered hotel through: www.kiphideaways.com/hideaways/hotel-hyundai. The competition will run from October 6 to October 19.
For those who don’t get a chance to stay at Hotel Hyundai, there might be hope in the future. The car-powered hotel might pop up somewhere else in the future.
“I hope this three-week pop-up hotel is just the start for this concept of a car plugging in and powering a luxury experience like this. I’m predicting that guests will be hoping that his amazing hotel and the full experience it offers might be here again in 2023,” teased Dent.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
